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Association Rules Analysis using FP-Growth Algorithm to Make Product Recommendations for Customer

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Association Rules Analysis using FP-Growth Algorithm to Make Product Recommendations for Customer


Ni Putu Priyastini Dessy Safitri



Ni Putu Priyastini Dessy Safitri "Association Rules Analysis using FP-Growth Algorithm to Make Product Recommendations for Customer" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-2, February 2021, pp.528-531, URL: https://www.ijtsrd.com/papers/ijtsrd38459.pdf

Companies usually have historical data on sales transactions from month to month, but unfortunately, they are only used as weekly and monthly reports. If it is allowed to continue for longer, there will be data growth which results in data richness but poor information. At the same time, companies often still use manual methods in their product marketing strategies that have no reference and are only based on estimates. One of them is the X Fashion Store that sells various local fashions. X Fashion Store has not used data to develop their marketing strategy. This study conducted an association rules analysis to develop a sales strategy. Sales transaction data used is data for December 2020 with a minimum value of support of 25% and a minimum value of confidence of 80% by processing data using Rapidminer application. FP-Growth algorithm can produce association rules as a reference in product promotion and decision support in providing product recommendations to consumers based on predetermined minimum support and confidence values. The association rule result with the highest lift ratio is 10.51.

Association, FP-Growth, Product Recomendation


IJTSRD38459
Volume-5 | Issue-2, February 2021
528-531
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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